Item: IBM StreamSets
Rating: 7
Author: Arseniy Seroka

Overall Satisfaction with IBM StreamSets

Use Cases and Deployment Scope

I use IBM StreamSets for AI-related tasks including continuously training models, as well as for real-time data streaming, handling schema changes, and simply scaling pipelines.

Pros and Cons

Pros

it connects to many data sources and helps catch issues early with built-in alerts and monitoring tools
it supports real-time and batch processing, handles data drift well, and makes pipeline debugging easier with the updated UI

Cons

it lag when handling large amounts of data
the error logs were sometimes difficult to interpret
support took time to respond when I needed urgent help

Return on Investment

it reduced the time I spent managing and updating pipelines when data formats changed
it saved us from building everything from scratch by making data movement between systems easier
it helps scale workflows as data volume grows, without much extra effort

Usability

The best thing is how simple it is to use—you don’t need to write much code and it connects to lots of sources.

Key Insights

Do you think IBM StreamSets delivers good value for the price?

Yes

Are you happy with IBM StreamSets's feature set?

Yes

Did IBM StreamSets live up to sales and marketing promises?

Yes

Did implementation of IBM StreamSets go as expected?

Yes

Would you buy IBM StreamSets again?

Yes

Other Software Used

Teamcenter, Vena, Miro

Likelihood to Recommend

StreamSets is for teams looking for a fast and low-code way to build ETL pipelines, also it’s especially useful if you’re dealing with real-time data or complex source systems.

Comments

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